Enhancing traffic flow and safety: modeling and simulation analysis of vehicle following in V2V environment

Abstract

With the development of high and new technologies such as 5G communication and unmanned driving, the road traffic environment is also changing quietly. The following model based on traditional traffic parameters can no longer accurately describe the following behavior of vehicles in the intelligent traffic environment. Based on the study of micro-traffic popularity in V2V environment and the reference to the traditional following up model and intelligent driving model, a micro-traffic flow model based on V2V environment is constructed. Based on the control theory, the Laplace transform of the model is carried out to obtain the transfer function under the following model, and the stability of the traffic flow system is studied through the analysis of the transfer function. Analysis results show that the thinking of the leading vehicle and following the speed of the car is poor and car impact on the stability of traffic flow, traffic flow stability critical sensitivity coefficient decreased, stable area, set up by the new model is of high stability, can be more comprehensive description of the V2V environment with chi behavior characteristics of microscopic traffic flow.